How to connect Qwilr and OpenAI Image Generation
Create a New Scenario to Connect Qwilr and OpenAI Image Generation
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Qwilr, triggered by another scenario, or executed manually (for testing purposes). In most cases, Qwilr or OpenAI Image Generation will be your first step. To do this, click "Choose an app," find Qwilr or OpenAI Image Generation, and select the appropriate trigger to start the scenario.

Add the Qwilr Node
Select the Qwilr node from the app selection panel on the right.

Qwilr
Add the OpenAI Image Generation Node
Next, click the plus (+) icon on the Qwilr node, select OpenAI Image Generation from the list of available apps, and choose the action you need from the list of nodes within OpenAI Image Generation.

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Authenticate OpenAI Image Generation
Now, click the OpenAI Image Generation node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Image Generation settings. Authentication allows you to use OpenAI Image Generation through Latenode.
Configure the Qwilr and OpenAI Image Generation Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Qwilr and OpenAI Image Generation Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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OpenAI Image Generation
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Qwilr, OpenAI Image Generation, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Qwilr and OpenAI Image Generation integration works as expected. Depending on your setup, data should flow between Qwilr and OpenAI Image Generation (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Qwilr and OpenAI Image Generation
Qwilr + OpenAI Image Generation + Slack: When a Qwilr proposal is accepted, OpenAI Image Generation creates a congratulatory image. This image is then posted to a specified Slack channel to notify the team.
Qwilr + OpenAI Image Generation + HubSpot: When a Qwilr proposal is viewed, OpenAI Image Generation generates a personalized image. This image's URL is added to the corresponding contact's record in HubSpot for enhanced personalization.
Qwilr and OpenAI Image Generation integration alternatives
About Qwilr
Automate Qwilr quote creation inside Latenode workflows. Automatically generate Qwilr proposals when triggered by new CRM leads or form submissions. Send data to Qwilr, then use Latenode to track views, trigger follow-ups, and update your database—no manual data entry needed. Scale personalized sales flows with ease.
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About OpenAI Image Generation
Automate image creation with OpenAI in Latenode. Generate visuals for marketing, content, or design workflows directly within your automated scenarios. Save time and resources by integrating AI image generation into your processes using Latenode’s visual editor and JavaScript functions for prompt customization. No more manual steps: just scalable, automated image workflows.
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See how Latenode works
FAQ Qwilr and OpenAI Image Generation
How can I connect my Qwilr account to OpenAI Image Generation using Latenode?
To connect your Qwilr account to OpenAI Image Generation on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Qwilr and click on "Connect".
- Authenticate your Qwilr and OpenAI Image Generation accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate project visuals based on Qwilr proposals?
Yes, you can! Latenode automates image creation based on proposal data, streamlining client presentations and enhancing visual appeal with AI-generated content.
What types of tasks can I perform by integrating Qwilr with OpenAI Image Generation?
Integrating Qwilr with OpenAI Image Generation allows you to perform various tasks, including:
- Automatically generating hero images for Qwilr proposals based on project descriptions.
- Creating personalized visuals for each client based on their specific needs outlined in Qwilr.
- Dynamically updating proposal visuals when changes are made to the Qwilr document.
- Generating unique marketing materials based on successful Qwilr proposal templates.
- A/B testing different image styles to optimize Qwilr proposal conversion rates.
How do I handle Qwilr rate limits on Latenode for image generation?
Latenode’s advanced logic lets you implement error handling and queue mechanisms to manage Qwilr API limits effectively, avoiding workflow interruptions.
Are there any limitations to the Qwilr and OpenAI Image Generation integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The quality of generated images depends on the quality of the prompts extracted from Qwilr.
- High volumes of image generation may impact OpenAI Image Generation API usage costs.
- Complex Qwilr document structures might require custom parsing logic in Latenode.